• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.233-238
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• 2016

Recently, the multi-core processor architecture is widely adopted in the embedded processors for enhancing its performance. Multi-core processors are classified either as symmetric or asymmetric. Asymmetric multicore processors are known to score higher performance and more efficient than symmetric multi-core processors. In order to study the performance enhancement of asymmetric multi-core embedded processors over the symmetric ones, the trace-driven simulation has been executed for various asymmetric embedded dual-core, quad-core, octa-core and hexadeca-core processors and compared with the symmetric ones of similar hardware budget using MiBench benchmarks as input.

• Proceedings of the IEEK Conference
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• 2001.06b
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• pp.357-360
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• 2001

As SOC design methodology becomes popular, processors, the essential core in embedded system are required to be designed fast and supported to customers with expansive behavior description. This paper presents new methodology to meet such goals with designer configurable instruction set simulator for processors. This paper proposes new language called PML(Processor Modeling Language), which is based on microprogramming scheme and is also successful in most behavior of processors. By using this, we can describe scalar processor very efficiently with by-far faster simulation speed in compared with HDL model.

• Journal of information and communication convergence engineering
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• v.12 no.3
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• pp.145-153
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• 2014

The improvements of embedded processors make future technologies including wireless sensor network and internet of things feasible. These applications firstly gather information from target field through wireless network. However, this networking process is highly vulnerable to malicious attacks including eavesdropping and forgery. In order to ensure secure and robust networking, information should be kept in secret with cryptography. Well known approach is public key cryptography and this algorithm consists of finite field arithmetic. There are many works considering high speed finite field arithmetic. One of the famous approach is Montgomery multiplication. In this study, we investigated Montgomery multiplication for public key cryptography on embedded microprocessors. This paper includes helpful information on Montgomery multiplication implementation methods and techniques for various target devices including 8-bit and 16-bit microprocessors. Further, we expect that the results reported in this paper will become part of a reference book for advanced Montgomery multiplication methods for future researchers.

• IEMEK Journal of Embedded Systems and Applications
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• v.14 no.1
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• pp.51-61
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• 2019

There are strict evaluation processes before using new processors to satellites. Engineers evaluate processors from various viewpoints including specification, development environment, and cost. From a viewpoint of computation power, manufacturers provide benchmark results with processors, and engineers decide which processors are adequate to their satellites by comparing the benchmark results with requirements of their satellites. However, the benchmark results depends on a test environment of manufacturers, and it is quite difficult to achieve similar performance in a target environment. Therefore, it is necessary to evaluate the processors in the target environment. This paper compares performance of a processor, AT697F/LEON2, in software testbed (STB) with three development boards of XC2V/LEON3, GR712RC/LEON3, and GR740/LEON4. Seven benchmark functions of Dhrystone, Stanford, Coremark, Whetstone, Flops, NBench, and MiBench are selected. Results are analyzed with hardware and software properties: hardware properties of core architecture, number of cores, cache, and memory; and software properties of build options and compilers. Based on the analysis, this paper describes a guideline for choosing processors for next generation satellites.

• Proceedings of the IEEK Conference
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• 2000.11b
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• pp.353-356
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• 2000

In this paper, a high-performance and small-area floating-point divider, which is suitable for embedded processors and supports all rounding modes defined by IEEE 754 standard, is designed using the series expansion algorithm. This divider shares and fully utilizes the two MAC units for quadratical convergence to the correct quotient. The area increase of two MAC units due to the division is minimized in this design, so that it can be suitable for embedded processors. The tested HDL codes are synthesized and optimized with 0.35$\mu\textrm{m}$ CMOS standard celt libraries. The results show that the latency of the synthesized divider is 17.43 ㎱ in worst condition. But, the divider calculates the correct rounded quotient through only 6 cycles.

• Journal of Computing Science and Engineering
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• v.9 no.4
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• pp.177-189
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• 2015

High-performance processors using Non-Uniform Cache Architecture (NUCA) are increasingly used to deal with the growing wire delays in multicore/manycore processors. Due to the convergence of high-performance computing with embedded computing, NUCA caches are expected to benefit high-end embedded systems as well. However, for real-time systems that use multicore processors with NUCA caches, it is crucial to bound worst-case execution time (WCET) accurately and safely. In this paper, we developed a WCET analysis approach by considering the effect of static NUCA caches on WCET. We compared the WCET in real-time applications with different topologies of static NUCA caches. Our experimental results demonstrated that the static NUCA cache could improve the worst-case performance of realtime applications using multicore processor compared to the cache with uniform access time.

• Journal of the Institute of Electronics Engineers of Korea CI
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• v.44 no.1
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• pp.1-9
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• 2007

Since data caches used in modern embedded processors consume significant fraction of total processor power up to 40%, embedded processors need power-efficient high performance data caches. This paper proposes a prefetching data cache structure which pursuing low power consumption. We added tag history table on existing data cache structure which includes hardware unit for data prefetching so that reduce the number of parallel lookup on tag memory. This strategic cache structure remarkably reduces power consumption for parallel tag lookup. Experimental results show that the proposed cache architecture induce low power consumption while maintain the same cache performance.

• Journal of Institute of Control, Robotics and Systems
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• v.21 no.11
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• pp.989-995
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• 2015

Due to the recent increase of the importance and demand of security services, the importance of a surveillance monitor system that makes an automatic security system possible is increasing. As the market for surveillance monitor systems is growing, price competitiveness is becoming important. As a result of this trend, surveillance monitor systems based on an embedded system are widely used. In this paper, an object detection algorithm based on an embedded system for a surveillance monitor system is introduced. To apply the object detection algorithm to the embedded system, the most important issue is the efficient use of resources, such as memory and processors. Therefore, designing an appropriate algorithm considering the limit of resources is required. The proposed algorithm uses two background models; therefore, the embedded system is designed to have two independent processors. One processor checks the sub-background models for if there are any changes with high update frequency, and another processor makes the main background model, which is used for object detection. In this way, a background model will be made with images that have no objects to detect and improve the object detection performance. The object detection algorithm utilizes one-dimensional histogram distribution, which makes the detection faster. The proposed object detection algorithm works fast and accurately even in a low-priced embedded system.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.9 no.6
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• pp.1211-1217
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• 2005

Current generation embedded systems are built around only a small number of SOCs, which are again based on general-purpose embedded micro-processors, such as ARM and MIPS. These RISC-based processors are not, however, designed for specific functions such as networking and multimedia processing, whose importances have increased dramatically in recent years. Network devices for small business and home networks, are especially dependent upon such SOCs based on general processors. Except for PHY and MAC layer functions, which are built with hardware, all the network functions are processed by the embedded micro-processor. Enabling technologies such as VDSL and FTTH promise Internet access with a much higher speed, while at the same time explore the limitations of general purpose microprocessors. In this paper we design a network processor, embed it into an SOC for Home gateway, evaluate the performance rigorously, and gauge a possibility for commercialization.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.8 no.7
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• pp.1553-1557
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• 2004

A real-time processing system for embedded hardware genetic algorithm is suggested. In order to operate basic module of genetic algorithm in parallel, such as selection, crossover, mutation and evaluation, dual processors based architecture is implemented. The system consists of two Xscale processors and two FPGA with evolvable hardware, which enables to process genetic algorithm efficiently by distributing the computational load of hardware genetic algorithm to each processors equally. The hardware genetic algorithm runs on Linux OS and the resulted chromosome is executed on evolvable hardware in FPGA. Furthermore, the suggested architecture can be extended easily for a couple of connected processors in serial, making it accelerate to compute a real-time hardware genetic algorithm. To investigate the effect of proposed approach, performance comparisons is experimented for an typical computation of genetic algorithm.